A Time Resolved Microwave Conductivity technique for investigating direct and trap-mediated recombination dynamics and determining carrier mobilities of thin film semiconductors is presented here.
A method for investigating recombination dynamics of photo-induced charge carriers in thin film semiconductors, specifically in photovoltaic materials such as organo-lead halide perovskites is presented. The perovskite film thickness and absorption coefficient are initially characterized by profilometry and UV-VIS absorption spectroscopy. Calibration of both laser power and cavity sensitivity is described in detail. A protocol for performing Flash-photolysis Time Resolved Microwave Conductivity (TRMC) experiments, a non-contact method of determining the conductivity of a material, is presented. A process for identifying the real and imaginary components of the complex conductivity by performing TRMC as a function of microwave frequency is given. Charge carrier dynamics are determined under different excitation regimes (including both power and wavelength). Techniques for distinguishing between direct and trap-mediated decay processes are presented and discussed. Results are modelled and interpreted with reference to a general kinetic model of photoinduced charge carriers in a semiconductor. The techniques described are applicable to a wide range of optoelectronic materials, including organic and inorganic photovoltaic materials, nanoparticles, and conducting/semiconducting thin films.
Flash-photolysis time-resolved microwave conductivity (FP-TRMC) monitors dynamics of photo-excited charge carriers on the ns-µs timescale, making it an ideal tool for investigating charge carrier recombination processes. Understanding the decay mechanisms of photo-induced charge carriers in thin film semiconductors is of key importance in a range of applications, including photovoltaic device optimization. The induced carrier lifetimes are often functions of induced carrier density, excitation wavelength, mobility, trap density and trapping rate. This paper demonstrates the versatility of the Time Resolved Microwave Conductivity (TRMC) technique for investigating a wide range of carrier dynamic dependencies (intensity, wavelength, microwave frequency) and their interpretations.
Photogenerated charges can modify to both the real and the imaginary parts of the dielectric constant of a material, depending on their mobility and degree of confinement/localization1. The conductivity of a material is proportional to its complex dielectric constant
where is the frequency of a microwave electric field, and are the real and imaginary parts of the dielectric constant. Thus, the real part of the conductivity is related to the imaginary part of the dielectric constant, and can be mapped onto microwave absorption, while the imaginary part of the conductivity (subsequently referred to as polarization) is related to a shift in the resonance frequency of the microwave field1.
TRMC offers several advantages over other techniques. For instance, DC photoconductivity measurements suffer from a range of complications arising from contacting the material with electrodes. Enhanced recombination at the electrode/material interface, back injection of charges through this interface, as well as enhanced dissociation of excitons and geminate pairs due to the applied voltage2 all lead to distortions in the measured carrier mobilities and lifetimes. In contrast, TRMC is an electrodeless technique which measures the intrinsic mobility of the carriers without distortions due to charge transfer across contacts.
A significant advantage of using microwave power as a probe for carrier dynamics is that, as well as monitoring the decay lifetimes of charge carriers, decay mechanisms/pathways can also be investigated.
TRMC can be used to determine the total mobility3 and lifetime4 of induced charge carriers. These parameters can subsequently be used to distinguish between direct and trap-mediated recombination mechanisms3,5. The dependence of these two separate decay pathways can be quantitatively analyzed as a function of carrier density3,5 and excitation energy/wavelength5. The localization/confinement of induced carriers can be investigated by comparing the decay of the conductivity vs polarizability5 (imaginary vs real part of dielectric constant).
Additionally, and perhaps most importantly, TRMC can be used to characterize trap states which act as charge carrier decay pathways. Surface traps, for example, can be distinguished from bulk traps by comparing passivated vs unpassivated samples6. Sub-bandgap states can be directly investigated using sub-bandgap excitation energies5. Trap densities can be deduced by fitting TRMC data7.
Due to the versatility of this technique, TRMC has been applied to study a wide range of materials including: traditional thin film semiconductors such as silicon6,8 and TiO29,10, nanoparticles11, nanotubes1, organic semiconductors12, material blends13,14, and hybrid photovoltaic materials3,4,5.
In order to obtain quantitative information using TRMC, it is crucial to be able to accurately determine the number of absorbed photons for a given optical excitation. Since methods for quantifying absorption of thin films, nanoparticles, solutions and opaque samples differ, the sample preparation and calibration techniques presented here are designed specifically for thin film samples. However, the TRMC measurement protocol presented is very general.
1. Sample Preparation
Caution: Some chemicals used in this protocol can be hazardous to health. Please consult all relevant material safety data sheets before any sample preparation takes place. Utilize appropriate personal protective equipment (lab coats, safety glasses, gloves, etc.) and engineering controls (e.g. glovebox, fume hood, etc.) when handling the perovskite precursors, and solvents.
NOTE: The aim of this section is to form a uniform thickness thin film on the substrate. While this procedure is specific to the organo-lead halide perovskite sample, it can be modified for a range of samples and sample preparation techniques including vapor deposition, spin coating and sputtering, etc. The important outcome is a uniform thin film.
2. Sample Characterization
3. Laser Power Calibration
NOTE: In this section, refer to the optical excitation schematic in Figure 3. Tunable wavelength lasers like OPOs require coupling at each wavelength.
4. Mounting the Sample into the Cavity
5. Cavity Sensitivity Calibration14
NOTE: Excess photo generated charge carriers lead to a change in sample conductivity (Sm-1) which results in a decrease in the microwave power reflected from the cavity . For small changes in conductivity17, the change in microwave power is proportional to the change in conductivity via a cavity sensitivity factor :
The change in conductivity of the sample is related to the change in the bulk conductance via
NOTE: This calibration is necessary for converting microwave power to charge carrier mobility. If the aim of the study is to compare dynamics or obtain relative results, this calibration is not required.
NOTE: In this section, refer to the microwave detection setup in Figure 5.
6. Single TRMC Transient Measurement Procedure
7. Investigating the Real and Imaginary Components of Conductivity
8. Intensity Dependent Data Suite
9. Wavelength Dependent Data Suite
NOTE: In order to compare TRMC transients at different wavelengths, the laser must be calibrated at each wavelength such that then induced carrier concentration is constant.
The representative results presented here were obtained from a 250 nm CH3NH3PbI3 thin film sample.
The dynamics of the conductivity can be related to the dynamics of the charge carriers via
assuming that the charge carrier mobilities are constant in time, at least on the timescale of the decay. Furthermore, assuming no recombination of the initially formed charge carriers occurs during the laser pulse, the maximum (end-of-pulse) change in conductance can be written as:
where is the charge of an electron, is the maximum photoinduced charge carrier density, is the photon intensity incident on the sample (photons/cm2), is the internal quantum efficiency and is the fraction of incident light absorbed at a given wavelength, which can be calculated from the absorption spectrum (see Figure 1). The TRMC peak therefore corresponds to the intrinsic (microwave) charge carrier mobility of the sample.
It is important to note that the quoted conductivity is an average conductivity throughout the film14, . The description above assumes a homogenous photoinduced carrier density throughout the sample, which is valid for samples with a low enough optical density so that power dissipation is generally uniform throughout the sample. While induced charge carrier inhomogeneity (which can be approximated via the Beer-Lambert law) complicates the analysis of the photoinduced conductivity gradient, it does not does not affect the correct quantization of , since the total change in conductance is independent of carrier concentration gradient. However, non-uniform carrier concentration may affect higher order nonlinear processes in the sample.
A general model with direct and one-level trap-mediated recombination is shown below7.
where are the electron hole and trap populations, is the generation rate, are the bimolecular recombination rate, the trapping rate and the trap recombination rate respectively. By fitting TRMC data with a kinetic model such as the one described above convoluted with a Gaussian instrument response function, it is possible to not only determine carrier lifetimes and trap densities, but also characterize direct and trap-mediated recombination processes. Figure 7 shows a representative fit using the parameters in Table 1.
Special care should be taken in determining the uniqueness of fit parameters. It is useful if complimentary experiments can be performed to validate one of the timescales (e.g. time resolved PL measurement can be used to obtain the direct recombination rate.
If a decay tail is present in the data, it is important to obtain data for long enough to accurately represent this tail decay: fitting the same data cropped to a shorter timescale may result in different timescales. Low intensity decay tails can be especially difficult to fit accurately if the tail disappears into the noise floor of the instrument.
For our setup, the temporal resolution is limited by the response time of the vector network analyzer, which has a response time of about 60 ns. The Q factor for the measurements presented here is about 150, with a corresponding cavity response time of approx. 7 ns. For alternative microwave detection setups with a faster response time (e.g. microwave diode and oscilloscope), the cavity lifetime may limit the temporal resolution.
The microwave frequency dependence of TRMC decay can be used to deconstruct complex conductivity into its real (conductivity) and imaginary (polarizability) components. Figure 8 shows the raw TRMC traces taken as a function of probe microwave frequency, spanning 23 frequencies across the resonance curve of the dark cavity. On the left are 3 representative traces (raw data). Note that data taken off resonance may display a distorted decay profile, with positive or negative lobes, or even become inverted. On the right is a 3D representation of microwave power as a function of time and frequency P(t, f). At t=0, the TRMC baselines reconstruct the resonance curve of the loaded cavity. A maximal shift in both the power and frequency of the reflected microwaves occurs at t ≈ 7 µs (end-of-pulse).
The dynamic shift in the resonance curve of the cavity as a result of excess photoinduced charge carriers is shown in Figure 9. This shift may or may not be significant, depending on the dielectric properties of the material (i.e. if the complex conductivity has an imaginary component or not). The red trace is reconstructed from the baseline of TRMC traces taken at multiple microwave probe frequencies. This trace corresponds to the dark cavity resonance. The blue trace is reconstructed from the end-of-pulse TRMC power taken at multiple frequencies. The inset shows the excursion of the resonance frequency vs resonant power during the decay.
Polarization dynamics can be used to distinguish between direct and trap-mediated recombination pathways. Figure 10 shows a deconstruction of a TRMC trace into contributions from the real and imaginary components of the conductivity. The red trace is TRMC data taken at a fixed frequency , the resonance frequency of the dark loaded cavity. This is a typical TRMC measurement of complex conductivity. The decay of the real part of the conductivity (resonant power obtained from fitting) is plotted in the green trace. The decay of the polarization (the resonance frequency) is shown in blue. The polarization decay exhibits a significantly smaller decay tail than the conductivity decay. This implies that at long times, the charge carriers are contributing more to conductivity then they are to polarization, which is consistent with decay via localized trapped states.
Second order interactions of photo-induced charge carriers can be investigated via the excitation intensity dependence of charge carrier dynamics. Figure 11a shows TRMC traces taken at 530 nm excitation at various excitation intensities spanning two orders of magnitude, from 1012 – 1014 absorbed photons/cm2. The TRMC traces exhibit two distinct timescales, indicating the presence of two distinct decay mechanisms: The fast decay (which occurs on the order of 100 ns) is attributed to direct recombination processes while the long tail decay is attributed to trap-mediated recombination. While the signal typically increases with increasing laser power, the mobility of the CH3NH3PbI3 perovskite decreases with increasing excitation intensity, as shown in Figure 11b. The intensity (and therefore carrier density) dependence is sub-linear, indicating the presence of higher order decay processes.
The dependence of charge carrier decay pathways on incident photon energy (wavelength) is shown in Figure 12. Wavelengths of 530, 750 and 780 nm were chosen to represent the above, inter and sub-bandgap regime, as determined from the absorption spectrum (Figure 1). Taking into account the different absorption coefficients at these wavelengths, the TRMC traces were taken at laser powers which resulted in an absorbed photon density of 5 × 1012 photons/cm2 for each trace. It is clear that while the decay timescales are independent of excitation wavelength, the number of accessible trap states (which contribute to the decay pathway responsible for the long decay tail) is larger for above band-gap states then for those close to the bandgap.
Figure 1: Absorption spectrum of CH3NH3PbI3. The absorption spectrum is used to both determine the spectral area of interest, as well as for calibration of the absorbed laser power. The bandgap of this sample is about 750 nm, with tail states extending to 780 nm. Wavelengths of interest may include: above bandgap regime (λ<700 nm), bandgap (λ=750 nm) and tail state region (750 nm<λ<780 nm). Please click here to view a larger version of this figure.
Figure 2: General TRMC experimental schematic. A sample placed in a microwave cavity is photoexcited via the optical excitation setup, while being probed with microwave detection circuitry. The laser provides a trigger for measurement synchronization. Please click here to view a larger version of this figure.
Figure 3: Optical setup. A tunable wavelength laser is used to optically excite charge carriers in a sample placed in a microwave cavity. A parabolic mirror is used to couple the free space laser into an optical fiber. Neutral density filters are used to obtain well calibrated laser power series. Two irises are used to eliminate cross-beams which can damage the fiber cladding. Please click here to view a larger version of this figure.
Figure 4: Microwave cavity. Top right: photo of the cavity. Top left: HFSS cavity simulation shows that the electric field is approximately uniform and maximum at the sample position. Bottom: model of the cavity. A small hole in the microwave short allows optical access into the cavity. A Teflon diffuser is used to ensure the light incident on the sample is spatially uniform. The sample is placed in a Teflon sample holder at the maximum electric field position. An iris is used to define the front end of the cavity. A tuning screw is used to optimize the Q factor of the cavity. Please click here to view a larger version of this figure.
Figure 5: Microwave detection schematic. A vector network analyzer is used as both a microwave source and as an IQ detector. The output microwave power is split into two paths: an excitation arm and a detection arm. The microwave excitation passes through a circulator into a cavity, where it interacts with a sample. Reflected microwave power passes through the circulator into an amplifier before entering the detector. The signal is split in two, and half is mixed with the original microwave signal (yielding the in-phase signal I) and the other half is mixed with the original microwave signal phase shifted by 90° (yielding the quadrature component of the signal Q). Finally, the amplitude of the signal is calculated via .
The vector network analyzer can be used both in time domain (to obtain TRMC traces at a fixed frequency) and in frequency domain (to obtain a steady state S21 cavity reflection curve), without changing the loading on the cavity. Please click here to view a larger version of this figure.
Figure 6: Resonance curve of loaded cavity. A linear scale resonance curve used to calculate the cavity sensitivity factor. The Lorentzian fit (blue) is used to extract the resonance frequency, FWHM bandwidth and minimum reflected power R0. Please click here to view a larger version of this figure.
Figure 7: Fit with ODE. Normalized TRMC trace, fit with a kinetic model convoluted with a Gaussian instrument response function describing direct and trap-mediated recombination processes. The data is shown on a log-log plot to highlight the existence of a low amplitude tail decay. The laser pulse occurs at t ≈ 7 × 10-6 s. Please click here to view a larger version of this figure.
fit parameter | k2 (cm3 s-1) | kT (cm3 s-1) | kR (cm3 s-1) | NT (cm3) |
value | 6.50×10-10 | 7.90×10-8 | 1.10×10-9 | 1.60×1016 |
Table 1: Fitting parameters. Fit parameters of TRMC trace taken at 530 nm excitation with 6.4 x 1014 absorbed ph/cm2.
Figure 8: Microwave frequency series. Raw TRMC traces taken as a function of probe microwave frequency, spanning 23 frequencies across the resonance curve of the dark cavity. On the left are 3 representative traces (raw data). On the right is a 3D representation of microwave power as a function of time and frequency P(t, f). A t=0, the TRMC baselines reconstruct the resonance curve of the loaded cavity. At t ≈ 7 µs (end-of-pulse), there is a pronounced shift in the resonance curve. Please click here to view a larger version of this figure.
Figure 9: Photoinduced cavity resonance shift. Resonance curves reconstructed from TRMC traces before (red) and just after (blue) illumination. The resonance curve shifts both in amplitude (change in real conductivity) and in frequency (change in imaginary conductivity). The inset tracks the evolution of the resonant power vs frequency during the decay. Please click here to view a larger version of this figure.
Figure 10: Decay dynamics of real vs imaginary conductivity. The red trace is TRMC data taken at a fixed frequency fc, the resonance frequency of the dark loaded cavity. The green trace is the change in power at the resonance frequency, obtained from fitting. The blue trace is the change in resonance frequency as a function of time. Please click here to view a larger version of this figure.
Figure 11: Intensity series. Left: The intensity dependence of sample mobility taken at various excitation wavelengths between 530 and 780 nm. Right: TRMC transients taken as a function of laser power. ND filters are used to attenuate the laser power by a known amount. The intensity corresponds to the number of absorbed photons/cm2. The laser pulse occurs at t ≈ 7 × 10-6 s. Please click here to view a larger version of this figure.
Figure 12: Wavelength series. Normalized TRMC traces taken at a fixed photon density of 5 × 1012 absorbed photons/cm2 at excitation wavelength of 530, 750 and 780 nm. The laser pulse occurs at t ≈ 7 × 10-6 s. Please click here to view a larger version of this figure.
While the TRMC technique can offer a wealth of information about photoinduced charge carrier dynamics, this is an indirect measurement of conductivity, and therefore care needs to be taken when interpreting results. The TRMC technique measures total mobility, and cannot be used to distinguish between electron and hole mobilities. The underlying assumption that conductivity is proportional to change in reflected power holds only when that change is small (< 5%)16. Furthermore, if the shift in resonance frequency during the decay is large, then the total (complex) conductivity will have to be deconstructed into its real and imaginary components before the data can be analyzed. The TRMC technique is sensitive to changes in the imaginary part of the dielectric constant, which may have contributions not only from electrical conductivity but also from dielectric loss due to dipole reorientation. This technique cannot be used to distinguish between these two mechanisms, and we assume here that electrical conductivity is the dominant contribution to the imaginary dielectric constant, which is a good assumption for crystalline materials, but may not be valid for samples in solution.
In order to obtain absolute rather than relative measurements, the TRMC technique requires extensive calibration. In particular, calibrating the optical setup to determine the absorbed photons/incident photons is crucial to obtain accurate mobilities. In principle, it is possible to use quantitative TRMC on liquid or powdered samples; however accurate characterization of the absorption of these samples can be difficult.
The calibration of the cavity sensitivity factor may also be difficult if the dielectric constant of the material is unknown. In this case, the cavity sensitivity must be obtained either by modelling the reflection parameters of the cavity using a high frequency electromagnetic simulator1,14, or using a thin (<1 μm) calibration sample which has a similar loading on the cavity as the sample under test. If the cavity sensitivity cannot be measured, it is possible to obtain meaningful relative measurements (e.g. as a function of intensity or wavelength) and extract dynamic information.
AC mobility measurements may be several orders of magnitude higher than those obtained by DC measurements much as time of flight (TOF) or photo-CELIV measurements. For example, the DC mobility of polymer matrices is dominated by inter-chain transport, leading to a mobility orders of magnitude smaller than that obtained using TRMC17. This is because DC measurements yield an effective mobility through a device, while AC mobilities are intrinsic mobilities of the material, unaffected by material-contact interactions, or perturbations of the thermal drift velocity of charge carriers due to large driving voltages. DC and AC mobility measurements may be used in tandem to investigate charge transport through photovoltaic or electro-luminescent devices: TRMC measurements elucidate intrinsic charge carrier transport mechanisms, while DC measurements can be used to identify the dominant transport mechanism of the material in a device.
A very useful extension to the TRMC experiment is the addition of a time resolved photoluminescence setup to monitor the decay of charge carriers via direct recombination. In this way, the PL measurement can be used to unambiguously distinguish the direct recombination pathway from other decay mechanisms which contribute the TRMC decay, and significantly speed up the fitting procedure.
There are several extensions to the TRMC technique. For instance, Field induced TRMC, in which TRMC measurements are performed on a device under an electric field bias which provide a steady state injection of carriers, may be used to probe interfacial trap sites in the device18.
Some of the limitations of the TRMC technique can be overcome by comparing several samples.
For instance while a single TRMC measurement cannot distinguish between electron and hole mobilities, it is possible to compare a neat sample with a sample placed in an electron or hole accepting layer3. Additionally, TRMC cannot be used to distinguish between surface or bulk traps, however it is possible to compare unpassivated vs passivated samples to determine the contribution of surface traps to the trap-mediated decay process6. Alternatively, a series of thin films with increasing thickness could be used to determine if there is a surface/volume ratio dependence on the trap density.
The authors have nothing to disclose.
Acknowledgment is made to the Australian Research Council (LE130100146, DP160103008). JAG is supported via an Australian Postgraduate Award, and DRM by an ARC Future Fellowship (FT130100214). We thank Nikos Kopidakis for helpful discussions.
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Equipment | Company | Model | Comments/Description |
UV-VIS-NIR spectrophotometer | Perkin-Elmer | Lambda 900 | |
Profilometer | Veeco | Dektak 150 | |
Vector Network Analyzer | Keysight www.keysight.com/en/pdx-x201927-pn-N9918A/fieldfox-handheld-microwave-analyzer-265-ghz?cc=US&lc=eng |
Fieldfox N9918A | |
Tunable wavelength laser | Opotek www.opotek.com/product/opolette-355 |
Opolette 355 | |
Neutral density filters | Thorlabs www.thorlabs.hk/newgrouppage9.cfm?objectgroup_id=3193 |
NUK01 | |
Power meter | Thorlabs www.thorlabs.com/thorproduct.cfm?partnumber=PM100D |
PM100D | |
Power sensor | Thorlabs www.thorlabs.com/thorproduct.cfm?partnumber=S401C |
S401C | |
Cavity | Custom built | The cavity used in for this experiment was designed and built in-house. |